Tech Stack
DockerKubernetesMicroservicesPandasPostGISPySparkPython
About the role
- Design and oversee RAG pipelines using LangGraph, Haystack, LangChain, and OpenAI APIs for NeIO applications
- Manage a team of 3–5 AI engineers; perform code reviews, pair programming, and architecture reviews
- Develop FastAPI-based microservices and vectorized retrieval layers (Qdrant, FAISS, Pinecone)
- Tune embedding quality, latency, and retrieval precision across multi-tenant data lakes
- Integrate structured and spatial data using PostGIS, QGIS, GeoPandas
- Establish model observability, explainability metrics, and audit trails
- Translate business workflows into AI automation pipelines with measurable ROI
- Advocate for enterprise-grade, open-source-first design principles
Requirements
- 8–12 years of experience in AI/NLP engineering
- Expertise in Hugging Face Transformers, spaCy, Haystack, OpenAI APIs
- Experience in LangGraph, LangChain, and retrieval orchestration
- Familiarity with Vector Databases like Qdrant, FAISS, Pinecone, or Weaviate
- Proficient in FastAPI, RESTful API design, and async Python
- Experience with Data Processing tools like Pandas, DuckDB, PySpark, Airbyte
- Knowledge of QGIS, PostGIS, and GeoPandas is a bonus
- Understanding of MLOps tools such as MLflow, DVC, Docker, Kubernetes
- Proficient in Version Control systems like Git, GitHub Actions, CI/CD automation
- Competitive compensation with performance-linked RSUs
- Flexible, innovation-driven environment with direct impact on product evolution
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI engineeringNLP engineeringFastAPIRESTful API designasync PythonHugging Face TransformersspaCyLangGraphLangChainvector databases
Soft skills
team managementcode reviewspair programmingarchitecture reviewsadvocacy for design principles